Abstract: Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.

Abstract: This disclosure is directed to systems and methods for fusing Raman data with biomarker data to identify a disease and/or the progression of the disease. The system disclosed herein may include an illumination source for generating interacted photons from a biological sample and a detector for detecting the interacted photons to generate a Raman data set. A processor is included to fuse the Raman data set with a biomarker data set to identify a disease and/or a disease progression. The instant disclosure further includes a method comprising illuminating a biological sample to generate interacted photons, and detecting the interacted photons to generate a Raman data set. A biomarker data set is obtained from the biological sample, and the Raman data set is fused with the biomarker data set to generate an index score. The index score correlates with one or more of a disease and a disease progression.

Abstract: Systems for and methods for detecting samples and other compounds of interest are disclosed herein. The system can include an illumination source that is configured to emit light in a variety of different wavelength bands, an optical filter, a camera chip, and an optical path configured to direct the light emitted by the first illumination source at a target and direct the light reflected from the target to the at least one camera chip. The illumination source and the optical filter are transitionable between a first tuning state corresponding to a target tissue and a second tuning state corresponding to a background tissue. The system can be configured to record images at the different tuning states and generate a score image corresponding to the target tissue based on the recorded images.

Abstract: Systems for and methods for in situ optimization of tunable light emitting diode sources are disclosed herein. During operation, the systems and methods obtain real-time feedback from an image sensor, and that feedback is used to tune the tunable LEDs. By tuning the tunable LEDs, the best values for the LED spectral output can be selected based on the feedback from the image sensor, and an image with improved contrast is obtained. Alternatively, the amount of time to obtain an image with acceptable contrast is reduced.

Abstract: Systems and methods for the detection of calculi in the biliary system are disclosed. The systems include an illumination source, one or more filters that filter a first set of illumination photons and a second set of illumination photons, as well as associated processors and detectors. The system is also designed to generates image data sets and generated information related to the location of the calculi.

Abstract: Systems for and methods for in situ optimization of tunable light emitting diode sources are disclosed herein. During operation, the systems and methods obtain real-time feedback from an image sensor, and that feedback is used to tune the tunable LEDs. By tuning the tunable LEDs, the best values for the LED spectral output can be selected based on the feedback from the image sensor, and an image with improved contrast is obtained. Alternatively, the amount of time to obtain an image with acceptable contrast is reduced.

Abstract: Techniques, devices and methods for discriminating a target from a background material without optimizing directly on the target are provided. The devices and methods can generate pass bands of single or multiple wavelengths of variable shape and intensity, and can also select and control the shape of the pass band profiles to improve the detection of targets of interest.

Abstract: Systems and methods for the detection of calculi in the biliary system are disclosed. The systems include an illumination source, one or more filters that filter a first set of illumination photons and a second set of illumination photons, as well as associated processors and detectors. The system is also designed to generates image data sets and generated information related to the location of the calculi.

Abstract: Systems and methods designed to determine tumor histological subtypes in order to guide a surgical procedure. The systems and methods illuminate biological tissue in order to generate a plurality of interacted photons, collect the interacted photons, detect the plurality of a interacted photons to generate at least one hyperspectral image, and analyze a hyperspectral image by extracting a spectrum from a location in the hyperspectral image. The location should correspond to an area that is of interest in the biological tissue.

Abstract: Techniques, devices and methods for discriminating a target from a background material without optimizing directly on the target are provided. The devices and methods can generate pass bands of single or multiple wavelengths of variable shape and intensity, and can also select and control the shape of the pass band profiles to improve the detection of targets of interest.

Abstract: Systems for and methods for detecting samples and other compounds of interest are disclosed herein. The system can include an illumination source that is configured to emit light in a variety of different wavelength bands, an optical filter, a camera chip, and an optical path configured to direct the light emitted by the first illumination source at a target and direct the light reflected from the target to the at least one camera chip. The illumination source and the optical filter are transitionable between a first tuning state corresponding to a target tissue and a second tuning state corresponding to a background tissue. The system can be configured to record images at the different tuning states and generate a score image corresponding to the target tissue based on the recorded images.

Abstract: Systems for and methods for in situ optimization of tunable light emitting diode sources are disclosed herein. During operation, the systems and methods obtain real-time feedback from an image sensor, and that feedback is used to tune the tunable LEDs. By tuning the tunable LEDs, the best values for the LED spectral output can be selected based on the feedback from the image sensor, and an image with improved contrast is obtained. Alternatively, the amount of time to obtain an image with acceptable contrast is reduced.

Abstract: Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.

Abstract: Systems and methods of detecting and monitoring edema in a subject are described. The systems and methods include light sources, image detectors, filters, and processors that determine whether a subject has edema and the degree of severity. In some embodiments, the processor fuses data from more than one imaging modality.

Abstract: Systems and methods for the detection of calculi in the biliary system are disclosed. The systems include an illumination source, one or more filters that filter a first set of illumination photons and a second set of illumination photons, as well as associated processors and detectors. The system is also designed to generates image data sets and generated information related to the location of the calculi.

Abstract: This disclosure is directed to systems and methods for fusing Raman data with biomarker data to identify a disease and/or the progression of the disease. The system disclosed herein may include an illumination source for generating interacted photons from a biological sample and a detector for detecting the interacted photons to generate a Raman data set. A processor is included to fuse the Raman data set with a biomarker data set to identify a disease and/or a disease progression. The instant disclosure further includes a method comprising illuminating a biological sample to generate interacted photons, and detecting the interacted photons to generate a Raman data set. A biomarker data set is obtained from the biological sample, and the Raman data set is fused with the biomarker data set to generate an index score. The index score correlates with one or more of a disease and a disease progression.